Design and performance evaluation of a low-cost autonomous sensor interface for a smart iot-based irrigation monitoring and control system S Abba, J Wadumi Namkusong, JA Lee, M Liz Crespo Sensors 19 (17), 3643, 2019 | 85 | 2019 |
A new soft computing model for daily streamflow forecasting SS Sammen, M Ehteram, SI Abba, RA Abdulkadir, AN Ahmed, A El-Shafie Stochastic Environmental Research and Risk Assessment 35 (12), 2479-2491, 2021 | 43 | 2021 |
Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks DN Fabio, SI Abba, BQ Pham, ARM Towfiqul Islam, S Talukdar, ... Arabian Journal of Geosciences 15 (7), 647, 2022 | 32 | 2022 |
A new hybrid model based on relevance vector machine with flower pollination algorithm for phycocyanin pigment concentration estimation QB Pham, SS Sammen, SI Abba, B Mohammadi, S Shahid, ... Environmental Science and Pollution Research 28 (25), 32564-32579, 2021 | 26 | 2021 |
An IoT-based smart framework for a human heartbeat rate monitoring and control system S Abba, AM Garba Proceedings 42 (1), 2019 | 25 | 2019 |
IoT-based framework for smart waste monitoring and control system: a case study for smart cities S Abba, CI Light Engineering Proceedings 2 (1), 90, 2020 | 18 | 2020 |
Smart framework for environmental pollution monitoring and control system using IoT-based technology A Sani, PE Beauty Sens. Transducers 229, 84-93, 2019 | 18 | 2019 |
An autonomous self-aware and adaptive fault tolerant routing technique for wireless sensor networks S Abba, JA Lee Sensors 15 (8), 20316-20354, 2015 | 18 | 2015 |
FPGA-based design of an intelligent on-chip sensor network monitoring and control using dynamically reconfigurable autonomous sensor agents S Abba, JA Lee International Journal of Distributed Sensor Networks 12 (2), 4246596, 2016 | 16 | 2016 |
Application of advanced optimized soft computing models for atmospheric variable forecasting RM Adnan, SG Meshram, RR Mostafa, ARMT Islam, SI Abba, F Andorful, ... Mathematics 11 (5), 1213, 2023 | 15 | 2023 |
A parametric-based performance evaluation and design trade-offs for interconnect architectures using FPGAs for networks-on-chip S Abba, JA Lee Microprocessors and Microsystems 38 (5), 375-398, 2014 | 13 | 2014 |
Examining the performance impact of NoC parameters for scalable and adaptive FPGA-based network-on-chips S Abba, JA Lee 2013 Fifth International Conference on Computational Intelligence, Modelling …, 2013 | 10 | 2013 |
Performance evaluation of hydroponic wastewater treatment plant integrated with ensemble learning techniques: a feature selection approach HM Mustafa, G Hayder, SI Abba, AD Algarni, M Mnzool, AH Nour Processes 11 (2), 478, 2023 | 6 | 2023 |
Advancing SDGs: Predicting Future Shifts in Saudi Arabia’s Terrestrial Water Storage Using Multi-Step-Ahead Machine Learning Based on GRACE Data MA Yassin, SI Abba, A Pradipta, MH Makkawi, SMH Shah, J Usman, ... Water 16 (2), 246, 2024 | 4 | 2024 |
Design and Evaluation of a Low-Cost and Flexible Data Acquisition System Using Sensor Network for Smart Homes A Sani, MN Itse Sens. Transducers 227, 73-81, 2018 | 4 | 2018 |
Bio-inspired self-aware fault-tolerant routing protocol for network-on-chip architectures using Particle Swarm Optimization S Abba, JA Lee Microprocessors and Microsystems 51, 18-38, 2017 | 4 | 2017 |
Design, implementation and performance evaluation of wireless sensor networks for data acquisition system (A case study of smart homes) S Abba, IM Nyam Proceedings of the 1st International Conference on Microelectronic Devices …, 2018 | 3 | 2018 |
GSASRA: A Globally Self-Adaptive and Scalable Routing Algorithm for Network-on-Chips Architecture using Particle Swarm Optimization S Abba, JA Lee 2013 1st International Conference on Artificial Intelligence, Modelling and …, 2013 | 3 | 2013 |
WASTEWATER TREATMENT PLANT PERFORMANCE ANALYSIS USING ARTIFICIAL INTELLIGENCE–AN ENSEMBLE APPROACH SI ABBA, G Elkiran Near East University, 2019 | 2 | 2019 |
Modeling Rocket Flight Trajectory S Abba Workshop: Teaching Computation in the Sciences Using MATLAB, Carleton …, 2018 | 2 | 2018 |